Metal device set to: Apple M1 Pro
systemMemory: 16.00 GB
maxCacheSize: 5.33 GB
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 256) 3328
leaky_re_lu (LeakyReLU) (None, 256) 0
dense_1 (Dense) (None, 256) 65792
leaky_re_lu_1 (LeakyReLU) (None, 256) 0
dense_2 (Dense) (None, 256) 65792
leaky_re_lu_2 (LeakyReLU) (None, 256) 0
dense_3 (Dense) (None, 256) 65792
leaky_re_lu_3 (LeakyReLU) (None, 256) 0
dense_4 (Dense) (None, 256) 65792
leaky_re_lu_4 (LeakyReLU) (None, 256) 0
dense_5 (Dense) (None, 3) 771
=================================================================
Total params: 267,267
Trainable params: 267,267
Non-trainable params: 0
_________________________________________________________________
Epoch 1/50
459/459 [==============================] - 19s 38ms/step - loss: 0.0035 - val_loss: 8.9814e-05
Epoch 2/50
459/459 [==============================] - 17s 38ms/step - loss: 1.0140e-04 - val_loss: 6.3930e-05
Epoch 3/50
459/459 [==============================] - 17s 38ms/step - loss: 7.6886e-05 - val_loss: 5.2479e-05
Epoch 4/50
459/459 [==============================] - 17s 38ms/step - loss: 7.3999e-05 - val_loss: 3.5057e-05
Epoch 5/50
459/459 [==============================] - 17s 38ms/step - loss: 6.2850e-05 - val_loss: 3.0985e-05
Epoch 6/50
459/459 [==============================] - 17s 38ms/step - loss: 6.0826e-05 - val_loss: 2.8213e-05
Epoch 7/50
459/459 [==============================] - 17s 38ms/step - loss: 5.9249e-05 - val_loss: 2.5717e-05
Epoch 8/50
459/459 [==============================] - 17s 38ms/step - loss: 5.4855e-05 - val_loss: 2.3265e-05
Epoch 9/50
459/459 [==============================] - 18s 38ms/step - loss: 4.5766e-05 - val_loss: 2.9661e-05
Epoch 10/50
459/459 [==============================] - 17s 37ms/step - loss: 4.8833e-05 - val_loss: 4.2077e-05
Epoch 11/50
459/459 [==============================] - 17s 37ms/step - loss: 4.4549e-05 - val_loss: 5.3632e-05
Epoch 12/50
459/459 [==============================] - 17s 37ms/step - loss: 3.9942e-05 - val_loss: 1.8309e-05
Epoch 13/50
459/459 [==============================] - 17s 37ms/step - loss: 3.9184e-05 - val_loss: 8.9151e-05
Epoch 14/50
459/459 [==============================] - 18s 38ms/step - loss: 3.7175e-05 - val_loss: 1.9062e-05
Epoch 15/50
459/459 [==============================] - 17s 38ms/step - loss: 3.7786e-05 - val_loss: 1.7544e-05
Epoch 16/50
459/459 [==============================] - 17s 38ms/step - loss: 3.2921e-05 - val_loss: 3.6298e-05
Epoch 17/50
459/459 [==============================] - 17s 37ms/step - loss: 3.3376e-05 - val_loss: 1.4164e-05
Epoch 18/50
459/459 [==============================] - 18s 39ms/step - loss: 3.0455e-05 - val_loss: 1.6446e-05
Epoch 19/50
459/459 [==============================] - 17s 38ms/step - loss: 3.0066e-05 - val_loss: 1.4181e-05
Epoch 20/50
459/459 [==============================] - 17s 38ms/step - loss: 2.7863e-05 - val_loss: 1.9588e-05
Epoch 21/50
459/459 [==============================] - 18s 38ms/step - loss: 2.8360e-05 - val_loss: 1.1969e-05
Epoch 22/50
459/459 [==============================] - 17s 38ms/step - loss: 2.5683e-05 - val_loss: 1.4703e-05
Epoch 23/50
459/459 [==============================] - 17s 37ms/step - loss: 2.5767e-05 - val_loss: 1.9299e-05
Epoch 24/50
459/459 [==============================] - 17s 37ms/step - loss: 2.3532e-05 - val_loss: 1.0102e-05
Epoch 25/50
459/459 [==============================] - 17s 38ms/step - loss: 2.4355e-05 - val_loss: 2.8504e-05
Epoch 26/50
459/459 [==============================] - 17s 38ms/step - loss: 2.1764e-05 - val_loss: 1.4081e-05
Epoch 27/50
459/459 [==============================] - 17s 37ms/step - loss: 2.0814e-05 - val_loss: 6.4542e-05
Epoch 28/50
459/459 [==============================] - 17s 37ms/step - loss: 2.0557e-05 - val_loss: 1.4742e-05
Epoch 29/50
459/459 [==============================] - 17s 38ms/step - loss: 2.0759e-05 - val_loss: 1.0035e-05
Epoch 30/50
459/459 [==============================] - 17s 37ms/step - loss: 1.9063e-05 - val_loss: 7.1048e-05
Epoch 31/50
459/459 [==============================] - 18s 38ms/step - loss: 2.0484e-05 - val_loss: 3.2200e-05
Epoch 32/50
459/459 [==============================] - 17s 38ms/step - loss: 1.6852e-05 - val_loss: 1.1185e-05
Epoch 33/50
459/459 [==============================] - 17s 38ms/step - loss: 1.8098e-05 - val_loss: 1.0330e-05
Epoch 34/50
459/459 [==============================] - 17s 38ms/step - loss: 1.7150e-05 - val_loss: 1.1274e-05
Epoch 35/50
459/459 [==============================] - 17s 38ms/step - loss: 1.6459e-05 - val_loss: 1.1969e-05
Epoch 36/50
459/459 [==============================] - 17s 37ms/step - loss: 1.6292e-05 - val_loss: 1.6773e-05
Epoch 37/50
459/459 [==============================] - 17s 37ms/step - loss: 1.5983e-05 - val_loss: 1.8649e-05
Epoch 38/50
459/459 [==============================] - 17s 38ms/step - loss: 1.5137e-05 - val_loss: 1.4541e-05
Epoch 39/50
459/459 [==============================] - 17s 38ms/step - loss: 1.5048e-05 - val_loss: 9.4287e-06
Epoch 40/50
459/459 [==============================] - 17s 38ms/step - loss: 1.5887e-05 - val_loss: 1.5510e-05
Epoch 41/50
459/459 [==============================] - 17s 38ms/step - loss: 1.3647e-05 - val_loss: 1.0997e-05
Epoch 42/50
459/459 [==============================] - 17s 38ms/step - loss: 1.4484e-05 - val_loss: 1.0587e-05
Epoch 43/50
459/459 [==============================] - 17s 38ms/step - loss: 1.3647e-05 - val_loss: 9.5293e-06
Epoch 44/50
459/459 [==============================] - 18s 39ms/step - loss: 1.3482e-05 - val_loss: 1.0129e-05
Epoch 45/50
459/459 [==============================] - 17s 38ms/step - loss: 1.3360e-05 - val_loss: 8.8379e-06
Epoch 46/50
459/459 [==============================] - 17s 38ms/step - loss: 1.2514e-05 - val_loss: 8.2947e-06
Epoch 47/50
459/459 [==============================] - 17s 38ms/step - loss: 1.3042e-05 - val_loss: 8.0790e-06
Epoch 48/50
459/459 [==============================] - 17s 37ms/step - loss: 1.2872e-05 - val_loss: 3.8140e-05
Epoch 49/50
459/459 [==============================] - 17s 37ms/step - loss: 1.2358e-05 - val_loss: 8.3606e-06
Epoch 50/50
459/459 [==============================] - 17s 37ms/step - loss: 1.1781e-05 - val_loss: 1.0674e-05
INFO:tensorflow:Assets written to: models/best_uv_model/assets
Validation mse: 1.067442190105794e-05